Loan Prediction India

Delve into the intricate world of loan risk assessment with this synthetic dataset featuring 1000 meticulously crafted entries. Explore key factors like age, income, assets, credit score, debt-to-income ratio, existing loans, and criminal records to predict loan default.

This dataset, designed to mirror real-world scenarios, includes a realistic touch of missing values, adding a layer of complexity and mirroring the challenges faced by financial institutions.

Ideal for:

Machine Learning Enthusiasts: Hone your skills in classification models, data preprocessing, and handling missing values.
Data Science Students: Gain practical experience in building and evaluating predictive models for financial risk.
Researchers: Investigate the impact of various factors on loan default probability and develop more robust risk assessment frameworks.
Key Features:

Synthetically Generated: Ensures data privacy while maintaining realistic characteristics.
Missing Values: Introduces real-world data imperfections for a more challenging and authentic experience.
Binary Classification: Predict whether a loan application will be approved or denied.
Embrace the challenge and contribute to the advancement of responsible lending practices!"